Like many front-end developers, I don't have a formal computer science background. I rolled into this discipline as a designer wanting more control over the end product and though I did get a bachelors of ICT degree, the actual studies were, ahem, quite light in terms of "fundamental computer science". This means all I know about capital-s Software Development, I learned as I went from various sources. If that's you too, this article hopefully saves you a few years.
With the emergence of the Beta generation, there are seven distinct consumer demographics to serve, each with unique needs that we must satisfy as developers, Hughes said: Traditionalists, baby boomers, Gen X, millennials, Gen Z, Gen Alpha, and Beta babies. By exploring and understanding the values of the modern customer connection, we can build brands and a business for future success, he mentioned.
As memory prices continue to rise, it is time engineers reconsidered their applications and toolchains' voracious appetite for memory. Does a simple web page really need megabytes to show a user the modern equivalent of Hello World? Today's Windows Task Manager executable occupies 6 MB of disk space. It demands almost 70 MB before it will show a user just how much of a memory hog Chrome is these days. The original weighs in at 85 KB on disk.
Lubuntu is the Ubuntu flavor with the LXQt desktop environment. LXQt uses Qt. For those who don't know, Qt is a powerful, cross-platform development framework used for building native-looking GUI applications that run on Linux, Windows, macOS, and Android. Qt has its own IDE (Qt Creator) and extensive tools and libraries for developing, and the apps are capable of using a single codebase across different platforms and even.
Research going back almost 100 years finds that when you have a task to complete, you are highly motivated to finish it. It stays active in your memory, and you seek opportunities to get it done. That tendency is normally a good one. But on a break, it is a factor that will drive your mind back to the workplace-even when you're supposed to be relaxing. To give yourself the best chance to chill, see if you can close out key tasks before you leave. At a minimum, reach a good stopping place on tasks so that you don't feel like you have left them incomplete.
November 18 started like any other day. I was up early to finish some articles to meet a deadline. I was in the middle of doing so and needed some information to finish them. I figured that information would be easy and quick to get from ChatGPT so I had procrastinated doing the work. Just what I needed: when I opened ChatGPT on my laptop, I got some strange message about my credentials being invalid.
Pear OS has had a bit of history. It started out as a Debian-based Linux distribution called Pear OS. Then, out of nowhere, it was renamed Comice OS. The rename gremlins struck again, and it was back to Pear OS. Pear OS was then sold to a company hoping to keep the distribution alive, but that experiment did not last long, and a single developer, Alexandru Bălan, brought it back, only this time as pearOS.
Unified observability signifies the possession of one consistent view over all the parts of a distributed system - applications, infrastructure, and services. With modern systems being spread over several clouds, microservices, and APIs, the only way to have such visibility is through open standards and distributed tracing. Standards such as OpenTelemetry not only make it easier to collect but also to correlate the telemetry data (logs, metrics, and traces) from various components.
OpenAI has released GPT-5.2-Codex, a new version of its agentic AI model for software development that focuses specifically on professional software engineering and cybersecurity. The model builds on GPT-5.2 but has been further optimized to work independently within complex development environments. With this release, OpenAI is positioning Codex not just as a programming assistant but as a broader support technology for the entire software development process.
Hybrid apps won - native apps were neglected. Nowadays, everyone uses cross-platform hybrid desktop apps written in JavaScript, ignoring excessive CPU and RAM usage. You most likely use a hybrid, native-like, cross-platform code editor for day-to-day programming activities. It may work fine on your computer because you've upgraded your hardware, since it may have worked slowly before. If you check the resource usage of your favorite code editor, you'll see not megabytes of RAM, but gigabytes of RAM; that's not fair and ethical.
Pear Linux was a French distro by David Tavares, based on Ubuntu and GNOME but heavily themed with custom fonts, icons, menu layouts, and more, all intended to make it visually resemble Apple's Mac OS X as closely as possible. As DistroWatch records, it went through some seven releases between 2011 and 2013, before Tavares announced that an unnamed company had bought it, and the distro vanished. Some contemporary reviews of PearOS 3.0 (2012), PearOS 7.0, and PearOS 8.0 (both 2013) - especially their screenshots - will give you an idea of how well it accomplished that. The idea has enduring appeal. After it disappeared, there were attempts to revive it, including Pearl Linux and Clementine OS, both in 2014, but neither got far.
App developers looking to launch their programs in ChatGPT can now submit them for review and potential publication, OpenAI said Wednesday. The company also introduced a new app directory within Chat's tools menu that has swiftly been dubbed an "app store."
FreeBSD is a Unix-like operating system that is descended from the Berkeley Software Distribution. The first version of FreeBSD was released in 1993 and was developed from 386BSD, one of the first fully functional and free Unix clones on affordable hardware. Since its inception, FreeBSD has continuously been the most commonly used BSD-derived operating system on the market. FreeBSD maintains a complete system: kernel, device drivers, userland utilities, and documentation.
Google Cloud has announced fully managed remote Model Context Protocol (MCP) servers, enhancing its existing API infrastructure to support MCP and providing a unified layer across all Google and Google Cloud services. With the support for MCP servers, developers can point their AI agents or standard MCP clients, such as the Gemini CLI, to a globally consistent, enterprise-ready endpoint for Google and Google Cloud services.
Netflix has completed a major consolidation of its relational database infrastructure onto Amazon Aurora, reporting performance improvements of up to 75% and a 28% reduction in costs. The streaming giant's move from self-managed PostgreSQL on EC2 to the managed Aurora service highlights a broader industry trend toward offloading operational overhead to cloud-native database platforms. Facing challenges with a fragmented database landscape, Netflix's Online Data Stores (ODS) team struggled with the operational toil of managing deployed custom binaries, patching, and manual scaling.
The new program - which forms part of the company's Destination AI enablement framework - offers a three-phase pathway oriented around discovery, scoring, and activation. Partners work with customers to identify pain points across their organizations, with use cases then scored and prioritized based on factors such as feasibility, impact, and strategic alignment. The workshop then concludes with a shortlist of two to three high-value AI initiatives and a tailored 90-day roadmap for implementation.
Client We added now a drop-down menu to the client containing the user's notifications. Now when a user clicks on a notification, it is marked as read for this user. Also we implemented an unread counter in the client and raise a user notification pop-up when a new notification is sent by the server. Now users can subscribe to a chat of documents by toggling the notification bell-icon. The chat feature has been activated to many documents like sales, purchases and invoices.
Nowadays, everyone uses cross-platform hybrid desktop apps written in JavaScript, ignoring excessive CPU and RAM usage. You most likely use a hybrid, native-like, cross-platform code editor for day-to-day programming activities. It may work fine on your computer because you've upgraded your hardware, since it may have worked slowly before. If you check the resource usage of your favorite code editor, you'll see not megabytes of RAM, but gigabytes of RAM;
Adobe is updating its AI video-generation app, Firefly, with a new video editor that supports precise prompt-based edits, as well as adding new third-party models for image and video generation, including Black Forest Labs' FLUX.2 and Topaz Astra. Until now, Firefly only supported prompt-based generation, so you would have to recreate the entire clip if any part of the video was not to your liking. With the new editor, you can use text prompts to edit video elements, colors, and camera angles, and we also get a new timeline view that lets you adjust frames, sounds and other characteristics easily.
One of the many things I love about the Linux operating system is the vast array of choices available. If you don't like a distribution, find another one. If the desktop environment you're using doesn't suit your style or needs, consider installing a different one. If you need something faster, try a lightweight distribution. Given the vast number of distros available, there's almost no end to the combinations you can find.
However, the job of a software developer today is about more than just writing code. Thanks to the prevalence of DevOps, software developers tend to have a huge responsibility: they own the feature development, bug fixes, deployment pipeline, performance monitoring, cloud infrastructure and security of their code. Software development trends are constantly adapting to help software teams keep pace with the growing requirements of an increasingly digital society, and business leaders are recognising the value of software-powered business initiatives.
In essence, Yelp now writes terabytes of daily access logs but converts them into compact, parquet-formatted archives that are easy to query with tools like Amazon Athena. Through a process of periodic "compaction," raw plaintext log objects are merged into fewer, larger Parquet files, reducing storage usage by about 85% and cutting the number of objects by more than 99.99%. This transformation makes analytics efficient and cost-effective, enabling quick lookups for permission debugging, cost attribution, incident investigation, and data retention analysis.
